Can my agent generate speech using a specific voice ID?

Yes. Use the 'text_to_speech' tool. Provide the 'voice_id' and the text script. The agent will fire the inference pipeline and return the generated audio content natively.

How do I monitor my character quota via chat?

Use the 'get_subscription' tool. Your agent will validate the API logic querying your character usage (e.g., 100k limits) and subscription status to prevent system overruns.

Can I translate a video using the dubbing tool through the agent?

Absolutely. Use the 'create_dubbing' tool. Provide a JSON payload with the 'source_url' and 'target_lang'. The agent will initiate the massive video translation queue and track the rendering job for you.

ElevenLabs MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: ElevenLabs
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ElevenLabs through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to ElevenLabs "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in ElevenLabs?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About ElevenLabs MCP Server

Connect your ElevenLabs account to any AI agent and take full control of your AI audio generation and lifelike speech synthesis through natural conversation.

Pydantic AI validates every ElevenLabs tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Speech Synthesis Orchestration — Extract explicit REST maps utilizing text-to-speech endpoints to fire heavy inference pipelines streaming perfect conversational intonation blocks
Voice Library Navigation — Identify bounded records inside the ElevenLabs platform and pull globally curated standard and cloned voice libraries natively
Voice Tuning — Perform structural extraction of properties driving human likeness, dissecting precisely Stability and Similarity bounds for active account logic
Audio Dubbing — Initiate massive video and audio translation queues injecting cross-lingual voice models to automate multi-language content production
Generation Auditing — Enumerate explicitly attached structured rules exporting active history and mapping literal historic generations across time limits
Quota Oversight — Validate API logic querying strict character quotas and subscription limits to monitor character consumption and block system overruns
Vault Security — Identify precise active arrays spanning native gateway auth to retrieve explicit cloud generation logs and manage generated blobs securely

The ElevenLabs MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect ElevenLabs to Pydantic AI via MCP

Follow these steps to integrate the ElevenLabs MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from ElevenLabs with type-safe schemas

Why Use Pydantic AI with the ElevenLabs MCP Server

Pydantic AI provides unique advantages when paired with ElevenLabs through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your ElevenLabs integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your ElevenLabs connection logic from agent behavior for testable, maintainable code

ElevenLabs + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the ElevenLabs MCP Server delivers measurable value.

Type-safe data pipelines: query ElevenLabs with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple ElevenLabs tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query ElevenLabs and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock ElevenLabs responses and write comprehensive agent tests

ElevenLabs MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect ElevenLabs to Pydantic AI via MCP:

get_history_item

Get history item details

get_subscription

Get subscription details

get_user_info

Get user profile info

get_voice

Get voice details

list_history

List generation history

list_models

List AI speech models

list_projects

List dubbing/voice projects

list_pronunciation_dictionaries

List pronunciation dictionaries

list_voices

List all available voices

text_to_speech

Returns audio metadata. Supports 29+ languages. Convert text to speech audio

Example Prompts for ElevenLabs in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with ElevenLabs immediately.

"Generate audio for: 'Hello, this is a lifelike AI voice.' using voice 'abc-123'"

"Show me my remaining character quota"

"Dub this video into Spanish: https://example.com/video.mp4"

Troubleshooting ElevenLabs MCP Server with Pydantic AI

Common issues when connecting ElevenLabs to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

ElevenLabs + Pydantic AI FAQ

Common questions about integrating ElevenLabs MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your ElevenLabs MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.